Suchergebnisse

This study examines the socio-organizational model of science-policy knowledge transfer. Using social network analysis, the authors study how interactions between researchers-policy makers affect utilization of research by policy makers in a boundary organization designed to mediate between research and policy communities. Two types of social interactions with independent effects on utilization are identified. Policy makers with more direct contacts with researchers are more likely to utilize research. Policy makers interacting more with other policy makers regarding research are also more likely to utilize it. This indicates the importance of policy makers' embeddedness in social networks and the importance of external reputation of boundary organizations for successful knowledge transfer.

This paper presents reports on discussions among an international group of science and technology studies (STS) scholars who convened at the US National Science Foundation (January 2015) to think about data sharing and open STS. The first report, which reflects discussions among members of the Society for Social Studies of Science (4S), relates the potential benefits of data sharing and open science for STS. The second report, which reflects discussions among scholars from many professional STS societies (i.e., European Association for the Study of Science and Technology [ EASST], 4S, Society for the History of Technology [ SHOT], History of Science Society [ HSS], and Philosophy of Science Association [ PSA]), focuses on practical and conceptual issues related to managing, storing, and curating STS data. As is the case for all reports of such open discussions, a scholar's presence at the meeting does not necessarily mean that they agree with all aspects of the text to follow.